Evidence map›Paper›PMID 28430928›Full record

ArticleAlcohol and alcoholism (Oxford, Oxfordshire)2017

Typology and Dynamics of Heavier Drinking Styles in Great Britain: 1978-2010.

Robin C Purshouse, Alan Brennan, Daniel Moyo, James Nicholls, Paul Norman

Abstract read
In one paragraph

Article in Alcohol and alcoholism (Oxford, Oxfordshire), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Robin C PurshouseDepartment of Automatic Control & Systems Engineering, University of Sheffield, Mappin Street, Sheffield, S1 3JD, UK.
Alan BrennanSchool of Health & Related Research, University of Sheffield, 30 Regent Court, Regent Street, Sheffield, S1 4DA, UK.
Daniel MoyoDepartment of Automatic Control & Systems Engineering, University of Sheffield, Mappin Street, Sheffield, S1 3JD, UK.
James NichollsAlcohol Research UK, 83 Victoria Street, London, SW1H 0HW, UK.
Paul NormanDepartment of Psychology, University of Sheffield, Cathedral Court, 1 Vicar Lane, Sheffield, S1 2LT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo identify a typology of heavier drinking styles in Great Britain and to identify socio-demographic trends in the typology over the period 1978-2010.

methodsWe applied multiple correspondence analysis and agglomerative hierarchical clustering to beverage-specific quantity-frequency measures of alcohol consumption in the repeated cross-sectional General Lifestyle Survey of Great Britain, 1978-2010. The cluster analysis focuses on the 60,043 adult respondents over this period reporting average drinking levels above the UK Government guidelines. We projected sex, age, income, education, socio-economic status and tobacco consumption variables onto the clusters to inspect socio-demographic trends in heavier drinking.

resultsWe identified four stable clusters of heavier drinking: (a) high volume beer; (b) beer and spirit combination; (c) all beverage and (d) wine and spirit only. The socio-demographic characteristics of the clusters were distinct from both each other and the general population. However, all clusters had higher median incomes and higher smoking rates than the population. Increases in the prevalence of heavier drinking were driven by a 5-fold increase in the contribution of the female-dominated, wine and spirit only cluster.

conclusionsRecent changes in per capita alcohol consumption in Great Britain occurred within the context of a stable typology of heavier drinking styles and shifting socio-demographics. Identifying these trends is essential to better understand how drinking cultures develop over time and where potentially problematic drinking styles may emerge. Our findings suggest that careful attention to patterns and cultures of consumption is more important than relying on headline consumption data, for both understanding drinking behaviours and targeting interventions. SHORT SUMMARY: This analysis of alcohol consumption survey data identifies four styles of heavier drinking in Great Britain, which remain unchanged over the period 1978-2010. The socio-demographic characteristics of the drinking styles are distinct from both each other and the general population, with increased participation of female and older drinkers over time.

Indexed as

AdultAge FactorsAlcohol DrinkingAlcoholic BeveragesAlcoholismCluster AnalysisCross-Sectional StudiesFemaleHumansIncomeLife StyleMaleMiddle AgedSex FactorsSmokingSocial Class

Identifiers

PMID28430928
PMCPMC5397881

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.